๐ฅ Four matches tomorrow โ three divided predictions, one overwhelming consensus.
Full model reasoning & score analysis ๐ https://t.co/E5jSjiaIjJ
๐จ๐ฟ Czech Republic vs ๐ฟ๐ฆ South Africa
Czechia to win. Five models go 1-0, DeepSeek and GLM see 2-0, while Gemini and MiMo expect a tighter 2-1.
๐จ๐ญ Switzerland vs ๐ง๐ฆ Bosnia & Herzegovina
Most models lean Switzerland, but the exact score is all over the place. Four predict 1-0, three call a 1-1 draw, while DeepSeek and GLM go for 2-0 and 2-1 respectively.
๐จ๐ฆ Canada vs ๐ถ๐ฆ Qatar
Canada are favored, but not comfortably. Five models predict a 1-0 win, two see a draw, GPT goes 2-0, and Gemini expects a 2-1 result.
๐ฒ๐ฝ Mexico vs ๐ฐ๐ท Korea Republic
The strongest consensus of the day. Eight of nine models predict a 1-1 draw. Only Gemini backs Mexico to win, 2-1.
Which AI gets it right? ๐
#SportEval #Football
#sporteval#football๐ฅ Four matches on tomorrow's card โ and each one tells a different story.
Full model reasoning & score analysis ๐ https://t.co/E5jSjiaIjJ
๐ฌ๐ญ Ghana vs ๐ต๐ฆ Panama
Total agreement. All nine see a 1-1 draw โ same scoreline top to bottom, no exceptions.
๐ด๓ ง๓ ข๓ ฅ๓ ฎ๓ ง๓ ฟ England vs ๐ญ๐ท Croatia
The trickiest read of the lot. No one's backing Croatia, but the models can't settle on England either: three call a 1-1 draw (Claude, DeepSeek, GLM), four lean to a narrow 1-0 (Seed, GPT, MiMo, Qwen), Kimi goes 2-0, and Gemini stands alone at 2-1.
๐บ๐ฟ Uzbekistan vs ๐จ๐ด Colombia
Colombia the clear favorite, with one dissenter. Five go 0-2 (Seed, GLM, Kimi, MiMo, Qwen), three keep it to 0-1 (Claude, DeepSeek, Gemini) โ and GPT breaks ranks entirely, calling a 1-1 draw.
๐ต๐น Portugal vs ๐จ๐ฉ Congo DR
Portugal across the board. Seven settle on 2-0, while Gemini and GLM go bigger at 3-0.
So whose read holds up? ๐ https://t.co/E5jSjiaIjJ
#sporteval #football
#sporteval#football๐ฅ Four matches on tomorrow's card โ and each one tells a different story.
Full model reasoning & score analysis ๐ https://t.co/E5jSjiaIjJ
๐ฌ๐ญ Ghana vs ๐ต๐ฆ Panama
Total agreement. All nine see a 1-1 draw โ same scoreline top to bottom, no exceptions.
๐ด๓ ง๓ ข๓ ฅ๓ ฎ๓ ง๓ ฟ England vs ๐ญ๐ท Croatia
The trickiest read of the lot. No one's backing Croatia, but the models can't settle on England either: three call a 1-1 draw (Claude, DeepSeek, GLM), four lean to a narrow 1-0 (Seed, GPT, MiMo, Qwen), Kimi goes 2-0, and Gemini stands alone at 2-1.
๐บ๐ฟ Uzbekistan vs ๐จ๐ด Colombia
Colombia the clear favorite, with one dissenter. Five go 0-2 (Seed, GLM, Kimi, MiMo, Qwen), three keep it to 0-1 (Claude, DeepSeek, Gemini) โ and GPT breaks ranks entirely, calling a 1-1 draw.
๐ต๐น Portugal vs ๐จ๐ฉ Congo DR
Portugal across the board. Seven settle on 2-0, while Gemini and GLM go bigger at 3-0.
So whose read holds up? ๐ https://t.co/E5jSjiaIjJ
#sporteval #football
#sporteval#football๐ฅ Four matches on tomorrow's card โ and each one tells a different story.
Full model reasoning & score analysis ๐ https://t.co/E5jSjiaIjJ
๐ฌ๐ญ Ghana vs ๐ต๐ฆ Panama
Total agreement. All nine see a 1-1 draw โ same scoreline top to bottom, no exceptions.
๐ด๓ ง๓ ข๓ ฅ๓ ฎ๓ ง๓ ฟ England vs ๐ญ๐ท Croatia
The trickiest read of the lot. No one's backing Croatia, but the models can't settle on England either: three call a 1-1 draw (Claude, DeepSeek, GLM), four lean to a narrow 1-0 (Seed, GPT, MiMo, Qwen), Kimi goes 2-0, and Gemini stands alone at 2-1.
๐บ๐ฟ Uzbekistan vs ๐จ๐ด Colombia
Colombia the clear favorite, with one dissenter. Five go 0-2 (Seed, GLM, Kimi, MiMo, Qwen), three keep it to 0-1 (Claude, DeepSeek, Gemini) โ and GPT breaks ranks entirely, calling a 1-1 draw.
๐ต๐น Portugal vs ๐จ๐ฉ Congo DR
Portugal across the board. Seven settle on 2-0, while Gemini and GLM go bigger at 3-0.
So whose read holds up? ๐ https://t.co/E5jSjiaIjJ
#sporteval #football
#sporteval#football๐ฅ Four matches on tomorrow's card โ and each one tells a different story.
Full model reasoning & score analysis ๐ https://t.co/E5jSjiaIjJ
๐ฌ๐ญ Ghana vs ๐ต๐ฆ Panama
Total agreement. All nine see a 1-1 draw โ same scoreline top to bottom, no exceptions.
๐ด๓ ง๓ ข๓ ฅ๓ ฎ๓ ง๓ ฟ England vs ๐ญ๐ท Croatia
The trickiest read of the lot. No one's backing Croatia, but the models can't settle on England either: three call a 1-1 draw (Claude, DeepSeek, GLM), four lean to a narrow 1-0 (Seed, GPT, MiMo, Qwen), Kimi goes 2-0, and Gemini stands alone at 2-1.
๐บ๐ฟ Uzbekistan vs ๐จ๐ด Colombia
Colombia the clear favorite, with one dissenter. Five go 0-2 (Seed, GLM, Kimi, MiMo, Qwen), three keep it to 0-1 (Claude, DeepSeek, Gemini) โ and GPT breaks ranks entirely, calling a 1-1 draw.
๐ต๐น Portugal vs ๐จ๐ฉ Congo DR
Portugal across the board. Seven settle on 2-0, while Gemini and GLM go bigger at 3-0.
So whose read holds up? ๐ https://t.co/E5jSjiaIjJ
#sporteval #football
@Aiprotips1 Superstars schooling the models once again! Got every winner right but way off on the scores. Golden Ball/Golden Boot is where the models are split the most โ whatโs your take? https://t.co/snrxKgA5Xw
Day 6 Recap: When Superstars Break the Models ๐คโฝ #2026football
Four matches. Four winners correctly predicted by all 9 models.
๐ฆ๐ท Argentina 3-0 Algeria
๐ณ๐ด Norway 4-1 Iraq
๐ซ๐ท France 3-1 Senegal
๐ฆ๐น Austria 3-1 Jordan
But why the scorelines were off.Across all four matches, the models nailed the fundamentals:
โข Team strength
โข Tactical matchups
โข Defensive structures
โข Tournament opener dynamics
But they struggled with the same thing:
Superstar explosions.
Messi turned a projected 2-0 into 3-0.
Haaland turned a projected 2-0 into 4-1.
Mbappรฉ turned a projected 2-0 into 3-1.
LLMs are surprisingly good at predicting the average outcome.Theyโre much worse at predicting when a world-class player decides to go nuclear.
Which makes the Player Awards race even more interesting. ๐
On #SportEval, all 9 models have already locked in their predictions for:
๐ Golden Ball
โฝ Golden Boot
๐ Best Young Player
๐งค Golden Glove
Weโll keep tracking how those predictions evolve as the tournament unfolds.
Right now, the models are most divided on Mbappรฉ vs. Yamal.Who do you think the AI models got wrong? ๐ค
Day 6 Recap: When Superstars Break the Models ๐คโฝ #2026football
Four matches. Four winners correctly predicted by all 9 models.
๐ฆ๐ท Argentina 3-0 Algeria
๐ณ๐ด Norway 4-1 Iraq
๐ซ๐ท France 3-1 Senegal
๐ฆ๐น Austria 3-1 Jordan
But why the scorelines were off.Across all four matches, the models nailed the fundamentals:
โข Team strength
โข Tactical matchups
โข Defensive structures
โข Tournament opener dynamics
But they struggled with the same thing:
Superstar explosions.
Messi turned a projected 2-0 into 3-0.
Haaland turned a projected 2-0 into 4-1.
Mbappรฉ turned a projected 2-0 into 3-1.
LLMs are surprisingly good at predicting the average outcome.Theyโre much worse at predicting when a world-class player decides to go nuclear.
Which makes the Player Awards race even more interesting. ๐
On #SportEval, all 9 models have already locked in their predictions for:
๐ Golden Ball
โฝ Golden Boot
๐ Best Young Player
๐งค Golden Glove
Weโll keep tracking how those predictions evolve as the tournament unfolds.
Right now, the models are most divided on Mbappรฉ vs. Yamal.Who do you think the AI models got wrong? ๐ค
@433 Superstars schooling the models once again! Got every winner right but way off on the scores. Golden Ball/Golden Boot is where the models are split the most โ whatโs your take? https://t.co/snrxKgA5Xw
Day 6 Recap: When Superstars Break the Models ๐คโฝ #2026football
Four matches. Four winners correctly predicted by all 9 models.
๐ฆ๐ท Argentina 3-0 Algeria
๐ณ๐ด Norway 4-1 Iraq
๐ซ๐ท France 3-1 Senegal
๐ฆ๐น Austria 3-1 Jordan
But why the scorelines were off.Across all four matches, the models nailed the fundamentals:
โข Team strength
โข Tactical matchups
โข Defensive structures
โข Tournament opener dynamics
But they struggled with the same thing:
Superstar explosions.
Messi turned a projected 2-0 into 3-0.
Haaland turned a projected 2-0 into 4-1.
Mbappรฉ turned a projected 2-0 into 3-1.
LLMs are surprisingly good at predicting the average outcome.Theyโre much worse at predicting when a world-class player decides to go nuclear.
Which makes the Player Awards race even more interesting. ๐
On #SportEval, all 9 models have already locked in their predictions for:
๐ Golden Ball
โฝ Golden Boot
๐ Best Young Player
๐งค Golden Glove
Weโll keep tracking how those predictions evolve as the tournament unfolds.
Right now, the models are most divided on Mbappรฉ vs. Yamal.Who do you think the AI models got wrong? ๐ค
@fcbp8dri_ Superstars schooling the models once again! Got every winner right but way off on the scores. Golden Ball/Golden Boot is where the models are split the most โ whatโs your take? https://t.co/snrxKgA5Xw
Day 6 Recap: When Superstars Break the Models ๐คโฝ #2026football
Four matches. Four winners correctly predicted by all 9 models.
๐ฆ๐ท Argentina 3-0 Algeria
๐ณ๐ด Norway 4-1 Iraq
๐ซ๐ท France 3-1 Senegal
๐ฆ๐น Austria 3-1 Jordan
But why the scorelines were off.Across all four matches, the models nailed the fundamentals:
โข Team strength
โข Tactical matchups
โข Defensive structures
โข Tournament opener dynamics
But they struggled with the same thing:
Superstar explosions.
Messi turned a projected 2-0 into 3-0.
Haaland turned a projected 2-0 into 4-1.
Mbappรฉ turned a projected 2-0 into 3-1.
LLMs are surprisingly good at predicting the average outcome.Theyโre much worse at predicting when a world-class player decides to go nuclear.
Which makes the Player Awards race even more interesting. ๐
On #SportEval, all 9 models have already locked in their predictions for:
๐ Golden Ball
โฝ Golden Boot
๐ Best Young Player
๐งค Golden Glove
Weโll keep tracking how those predictions evolve as the tournament unfolds.
Right now, the models are most divided on Mbappรฉ vs. Yamal.Who do you think the AI models got wrong? ๐ค
@WorldCupMedia Messi!!!Superstars schooling the models once again! Got every winner right but way off on the scores. Golden Ball/Golden Boot is where the models are split the most โ whatโs your take? https://t.co/snrxKgA5Xw
Day 6 Recap: When Superstars Break the Models ๐คโฝ #2026football
Four matches. Four winners correctly predicted by all 9 models.
๐ฆ๐ท Argentina 3-0 Algeria
๐ณ๐ด Norway 4-1 Iraq
๐ซ๐ท France 3-1 Senegal
๐ฆ๐น Austria 3-1 Jordan
But why the scorelines were off.Across all four matches, the models nailed the fundamentals:
โข Team strength
โข Tactical matchups
โข Defensive structures
โข Tournament opener dynamics
But they struggled with the same thing:
Superstar explosions.
Messi turned a projected 2-0 into 3-0.
Haaland turned a projected 2-0 into 4-1.
Mbappรฉ turned a projected 2-0 into 3-1.
LLMs are surprisingly good at predicting the average outcome.Theyโre much worse at predicting when a world-class player decides to go nuclear.
Which makes the Player Awards race even more interesting. ๐
On #SportEval, all 9 models have already locked in their predictions for:
๐ Golden Ball
โฝ Golden Boot
๐ Best Young Player
๐งค Golden Glove
Weโll keep tracking how those predictions evolve as the tournament unfolds.
Right now, the models are most divided on Mbappรฉ vs. Yamal.Who do you think the AI models got wrong? ๐ค
@FabrizioRomano Haha, superstars schooling the models once again! Got every winner right but way off on the scores. Golden Ball/Golden Boot is where the models are split the most โ whatโs your take? https://t.co/snrxKgA5Xw
Day 6 Recap: When Superstars Break the Models ๐คโฝ #2026football
Four matches. Four winners correctly predicted by all 9 models.
๐ฆ๐ท Argentina 3-0 Algeria
๐ณ๐ด Norway 4-1 Iraq
๐ซ๐ท France 3-1 Senegal
๐ฆ๐น Austria 3-1 Jordan
But why the scorelines were off.Across all four matches, the models nailed the fundamentals:
โข Team strength
โข Tactical matchups
โข Defensive structures
โข Tournament opener dynamics
But they struggled with the same thing:
Superstar explosions.
Messi turned a projected 2-0 into 3-0.
Haaland turned a projected 2-0 into 4-1.
Mbappรฉ turned a projected 2-0 into 3-1.
LLMs are surprisingly good at predicting the average outcome.Theyโre much worse at predicting when a world-class player decides to go nuclear.
Which makes the Player Awards race even more interesting. ๐
On #SportEval, all 9 models have already locked in their predictions for:
๐ Golden Ball
โฝ Golden Boot
๐ Best Young Player
๐งค Golden Glove
Weโll keep tracking how those predictions evolve as the tournament unfolds.
Right now, the models are most divided on Mbappรฉ vs. Yamal.Who do you think the AI models got wrong? ๐ค
@FIFAWorldCup Haha, superstars schooling the models once again! Got every winner right but way off on the scores. Golden Ball/Golden Boot is where the models are split the most โ whatโs your take? https://t.co/snrxKgA5Xw
Day 6 Recap: When Superstars Break the Models ๐คโฝ #2026football
Four matches. Four winners correctly predicted by all 9 models.
๐ฆ๐ท Argentina 3-0 Algeria
๐ณ๐ด Norway 4-1 Iraq
๐ซ๐ท France 3-1 Senegal
๐ฆ๐น Austria 3-1 Jordan
But why the scorelines were off.Across all four matches, the models nailed the fundamentals:
โข Team strength
โข Tactical matchups
โข Defensive structures
โข Tournament opener dynamics
But they struggled with the same thing:
Superstar explosions.
Messi turned a projected 2-0 into 3-0.
Haaland turned a projected 2-0 into 4-1.
Mbappรฉ turned a projected 2-0 into 3-1.
LLMs are surprisingly good at predicting the average outcome.Theyโre much worse at predicting when a world-class player decides to go nuclear.
Which makes the Player Awards race even more interesting. ๐
On #SportEval, all 9 models have already locked in their predictions for:
๐ Golden Ball
โฝ Golden Boot
๐ Best Young Player
๐งค Golden Glove
Weโll keep tracking how those predictions evolve as the tournament unfolds.
Right now, the models are most divided on Mbappรฉ vs. Yamal.Who do you think the AI models got wrong? ๐ค
@FIFAWorldCup https://t.co/snrxKgA5Xw Haha, superstars schooling the models once again! Got every winner right but way off on the scores. Golden Ball/Golden Boot is where the models are split the most โ whatโs your take?
Day 6 Recap: When Superstars Break the Models ๐คโฝ #2026football
Four matches. Four winners correctly predicted by all 9 models.
๐ฆ๐ท Argentina 3-0 Algeria
๐ณ๐ด Norway 4-1 Iraq
๐ซ๐ท France 3-1 Senegal
๐ฆ๐น Austria 3-1 Jordan
But why the scorelines were off.Across all four matches, the models nailed the fundamentals:
โข Team strength
โข Tactical matchups
โข Defensive structures
โข Tournament opener dynamics
But they struggled with the same thing:
Superstar explosions.
Messi turned a projected 2-0 into 3-0.
Haaland turned a projected 2-0 into 4-1.
Mbappรฉ turned a projected 2-0 into 3-1.
LLMs are surprisingly good at predicting the average outcome.Theyโre much worse at predicting when a world-class player decides to go nuclear.
Which makes the Player Awards race even more interesting. ๐
On #SportEval, all 9 models have already locked in their predictions for:
๐ Golden Ball
โฝ Golden Boot
๐ Best Young Player
๐งค Golden Glove
Weโll keep tracking how those predictions evolve as the tournament unfolds.
Right now, the models are most divided on Mbappรฉ vs. Yamal.Who do you think the AI models got wrong? ๐ค
Day 6 Recap: When Superstars Break the Models ๐คโฝ #2026football
Four matches. Four winners correctly predicted by all 9 models.
๐ฆ๐ท Argentina 3-0 Algeria
๐ณ๐ด Norway 4-1 Iraq
๐ซ๐ท France 3-1 Senegal
๐ฆ๐น Austria 3-1 Jordan
But why the scorelines were off.Across all four matches, the models nailed the fundamentals:
โข Team strength
โข Tactical matchups
โข Defensive structures
โข Tournament opener dynamics
But they struggled with the same thing:
Superstar explosions.
Messi turned a projected 2-0 into 3-0.
Haaland turned a projected 2-0 into 4-1.
Mbappรฉ turned a projected 2-0 into 3-1.
LLMs are surprisingly good at predicting the average outcome.Theyโre much worse at predicting when a world-class player decides to go nuclear.
Which makes the Player Awards race even more interesting. ๐
On #SportEval, all 9 models have already locked in their predictions for:
๐ Golden Ball
โฝ Golden Boot
๐ Best Young Player
๐งค Golden Glove
Weโll keep tracking how those predictions evolve as the tournament unfolds.
Right now, the models are most divided on Mbappรฉ vs. Yamal.Who do you think the AI models got wrong? ๐ค
#sporteval#football๐ฅ Four matches on tomorrow's card โ and each one tells a different story.
Full model reasoning & score analysis ๐ https://t.co/E5jSjiaIjJ
๐ฌ๐ญ Ghana vs ๐ต๐ฆ Panama
Total agreement. All nine see a 1-1 draw โ same scoreline top to bottom, no exceptions.
๐ด๓ ง๓ ข๓ ฅ๓ ฎ๓ ง๓ ฟ England vs ๐ญ๐ท Croatia
The trickiest read of the lot. No one's backing Croatia, but the models can't settle on England either: three call a 1-1 draw (Claude, DeepSeek, GLM), four lean to a narrow 1-0 (Seed, GPT, MiMo, Qwen), Kimi goes 2-0, and Gemini stands alone at 2-1.
๐บ๐ฟ Uzbekistan vs ๐จ๐ด Colombia
Colombia the clear favorite, with one dissenter. Five go 0-2 (Seed, GLM, Kimi, MiMo, Qwen), three keep it to 0-1 (Claude, DeepSeek, Gemini) โ and GPT breaks ranks entirely, calling a 1-1 draw.
๐ต๐น Portugal vs ๐จ๐ฉ Congo DR
Portugal across the board. Seven settle on 2-0, while Gemini and GLM go bigger at 3-0.
So whose read holds up? ๐ https://t.co/E5jSjiaIjJ
#sporteval #football
#sporteval#football๐ฅ Four matches on tomorrow's card โ and each one tells a different story.
Full model reasoning & score analysis ๐ https://t.co/E5jSjiaIjJ
๐ฌ๐ญ Ghana vs ๐ต๐ฆ Panama
Total agreement. All nine see a 1-1 draw โ same scoreline top to bottom, no exceptions.
๐ด๓ ง๓ ข๓ ฅ๓ ฎ๓ ง๓ ฟ England vs ๐ญ๐ท Croatia
The trickiest read of the lot. No one's backing Croatia, but the models can't settle on England either: three call a 1-1 draw (Claude, DeepSeek, GLM), four lean to a narrow 1-0 (Seed, GPT, MiMo, Qwen), Kimi goes 2-0, and Gemini stands alone at 2-1.
๐บ๐ฟ Uzbekistan vs ๐จ๐ด Colombia
Colombia the clear favorite, with one dissenter. Five go 0-2 (Seed, GLM, Kimi, MiMo, Qwen), three keep it to 0-1 (Claude, DeepSeek, Gemini) โ and GPT breaks ranks entirely, calling a 1-1 draw.
๐ต๐น Portugal vs ๐จ๐ฉ Congo DR
Portugal across the board. Seven settle on 2-0, while Gemini and GLM go bigger at 3-0.
So whose read holds up? ๐ https://t.co/E5jSjiaIjJ
#sporteval #football
#sporteval#football๐ฅ Four matches on tomorrow's card โ and each one tells a different story.
Full model reasoning & score analysis ๐ https://t.co/E5jSjiaIjJ
๐ฌ๐ญ Ghana vs ๐ต๐ฆ Panama
Total agreement. All nine see a 1-1 draw โ same scoreline top to bottom, no exceptions.
๐ด๓ ง๓ ข๓ ฅ๓ ฎ๓ ง๓ ฟ England vs ๐ญ๐ท Croatia
The trickiest read of the lot. No one's backing Croatia, but the models can't settle on England either: three call a 1-1 draw (Claude, DeepSeek, GLM), four lean to a narrow 1-0 (Seed, GPT, MiMo, Qwen), Kimi goes 2-0, and Gemini stands alone at 2-1.
๐บ๐ฟ Uzbekistan vs ๐จ๐ด Colombia
Colombia the clear favorite, with one dissenter. Five go 0-2 (Seed, GLM, Kimi, MiMo, Qwen), three keep it to 0-1 (Claude, DeepSeek, Gemini) โ and GPT breaks ranks entirely, calling a 1-1 draw.
๐ต๐น Portugal vs ๐จ๐ฉ Congo DR
Portugal across the board. Seven settle on 2-0, while Gemini and GLM go bigger at 3-0.
So whose read holds up? ๐ https://t.co/E5jSjiaIjJ
#sporteval #football
#sporteval#football๐ฅ Four matches on tomorrow's card โ and each one tells a different story.
Full model reasoning & score analysis ๐ https://t.co/E5jSjiaIjJ
๐ฌ๐ญ Ghana vs ๐ต๐ฆ Panama
Total agreement. All nine see a 1-1 draw โ same scoreline top to bottom, no exceptions.
๐ด๓ ง๓ ข๓ ฅ๓ ฎ๓ ง๓ ฟ England vs ๐ญ๐ท Croatia
The trickiest read of the lot. No one's backing Croatia, but the models can't settle on England either: three call a 1-1 draw (Claude, DeepSeek, GLM), four lean to a narrow 1-0 (Seed, GPT, MiMo, Qwen), Kimi goes 2-0, and Gemini stands alone at 2-1.
๐บ๐ฟ Uzbekistan vs ๐จ๐ด Colombia
Colombia the clear favorite, with one dissenter. Five go 0-2 (Seed, GLM, Kimi, MiMo, Qwen), three keep it to 0-1 (Claude, DeepSeek, Gemini) โ and GPT breaks ranks entirely, calling a 1-1 draw.
๐ต๐น Portugal vs ๐จ๐ฉ Congo DR
Portugal across the board. Seven settle on 2-0, while Gemini and GLM go bigger at 3-0.
So whose read holds up? ๐ https://t.co/E5jSjiaIjJ
#sporteval #football
#sporteval#football๐ฅ Four matches on tomorrow's card โ and each one tells a different story.
Full model reasoning & score analysis ๐ https://t.co/E5jSjiaIjJ
๐ฌ๐ญ Ghana vs ๐ต๐ฆ Panama
Total agreement. All nine see a 1-1 draw โ same scoreline top to bottom, no exceptions.
๐ด๓ ง๓ ข๓ ฅ๓ ฎ๓ ง๓ ฟ England vs ๐ญ๐ท Croatia
The trickiest read of the lot. No one's backing Croatia, but the models can't settle on England either: three call a 1-1 draw (Claude, DeepSeek, GLM), four lean to a narrow 1-0 (Seed, GPT, MiMo, Qwen), Kimi goes 2-0, and Gemini stands alone at 2-1.
๐บ๐ฟ Uzbekistan vs ๐จ๐ด Colombia
Colombia the clear favorite, with one dissenter. Five go 0-2 (Seed, GLM, Kimi, MiMo, Qwen), three keep it to 0-1 (Claude, DeepSeek, Gemini) โ and GPT breaks ranks entirely, calling a 1-1 draw.
๐ต๐น Portugal vs ๐จ๐ฉ Congo DR
Portugal across the board. Seven settle on 2-0, while Gemini and GLM go bigger at 3-0.
So whose read holds up? ๐ https://t.co/E5jSjiaIjJ
#sporteval #football
#sporteval#football๐ฅ Four matches on tomorrow's card โ and each one tells a different story.
Full model reasoning & score analysis ๐ https://t.co/E5jSjiaIjJ
๐ฌ๐ญ Ghana vs ๐ต๐ฆ Panama
Total agreement. All nine see a 1-1 draw โ same scoreline top to bottom, no exceptions.
๐ด๓ ง๓ ข๓ ฅ๓ ฎ๓ ง๓ ฟ England vs ๐ญ๐ท Croatia
The trickiest read of the lot. No one's backing Croatia, but the models can't settle on England either: three call a 1-1 draw (Claude, DeepSeek, GLM), four lean to a narrow 1-0 (Seed, GPT, MiMo, Qwen), Kimi goes 2-0, and Gemini stands alone at 2-1.
๐บ๐ฟ Uzbekistan vs ๐จ๐ด Colombia
Colombia the clear favorite, with one dissenter. Five go 0-2 (Seed, GLM, Kimi, MiMo, Qwen), three keep it to 0-1 (Claude, DeepSeek, Gemini) โ and GPT breaks ranks entirely, calling a 1-1 draw.
๐ต๐น Portugal vs ๐จ๐ฉ Congo DR
Portugal across the board. Seven settle on 2-0, while Gemini and GLM go bigger at 3-0.
So whose read holds up? ๐ https://t.co/E5jSjiaIjJ
#sporteval #football